Author: AI Publisher

  • Nansen: The Labeled-Wallet Pioneer

    Nansen launched in 2020 as the first platform to systematically label Ethereum wallets. Founded by Alex Svanevik, a Norwegian data scientist based in Singapore, Nansen built a database of more than 300 million addresses tagged with identifiable behavior: “smart money,” “MEV bot,” “airdrop hunter,” “CEX hot wallet,” “whale.” Traders could filter token flows by label and see what the most profitable wallets were doing in near-real-time.

    Nansen’s “Smart Money” label became the most-cited metric in onchain analytics. A token that started showing up in Smart Money inflows would get attention fast. Entire trading strategies formed around simply copying what labeled smart wallets were doing. Paid Nansen subscriptions — which started around $150/month and went up to thousands — became a standard expense for professional crypto funds.

    Nansen expanded to Solana in 2023, Base in 2024, and built its own chain-agnostic dashboards for cross-chain flow tracking. Through the 2022 bear market, Nansen kept shipping while most competitors cut back. By 2024 it was the dominant enterprise onchain analytics platform, used by major exchanges, trading firms, and journalists. Svanevik became a frequently-quoted voice on onchain activity in mainstream crypto media.

    Nansen’s contribution to the industry is that it made onchain data legible at scale. Before Nansen, analyzing onchain flows required writing custom queries against raw node data — a skill almost nobody outside protocol engineering had. After Nansen, a retail trader with a subscription could see almost everything. It was Bloomberg for the blockchain, and it became the template that every subsequent onchain analytics company tried to copy.


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  • Dune Analytics: How SQL Became Crypto’s Lingua Franca

    Dune Analytics was founded in 2018 by Fredrik Haga and Mats Olsen in Oslo, Norway. The pitch was unusual: instead of building dashboards, let users write SQL queries directly against indexed blockchain data, share their queries publicly, and fork each other’s work. It sounded nerdy and niche. It became one of the most important analytics platforms in crypto.

    The secret to Dune’s success was the wizards — a community of hundreds of pseudonymous analysts who built public dashboards for every imaginable crypto topic. hagaetc, hildobby, 0xKofi, 21co, Andrew Hong, and dozens of others built dashboards that the entire industry came to rely on for real numbers. Want to know how much TVL is on Base? Dune. Want to see USDT flows between exchanges? Dune. Want to analyze every transaction that interacted with Uniswap v3 in the last week? Write a SQL query, share it, tip the wizard.

    Dune raised $69 million in a Series B led by Coatue in February 2022 at a $1 billion valuation. The company expanded from Ethereum-only to multi-chain coverage including Solana, Arbitrum, Optimism, Base, and most major L2s. Its data model shifted from a proprietary backend to Apache Spark and a DuneSQL engine built on top of Trino. By 2024 Dune was processing billions of rows of blockchain data daily.

    Dune’s cultural impact extends beyond analytics. It created a career path for pseudonymous SQL writers — “onchain analyst” became a legitimate crypto-native job that could pay hundreds of thousands of dollars through bounties and grants. Projects competed to hire top Dune wizards. The platform effectively democratized data analysis for a generation of crypto-curious analysts who didn’t need to work at Chainalysis to do serious onchain research.


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  • DEX Screener: The Default Chart for Memecoins

    DEX Screener launched in 2021 as a simple price-tracking tool for tokens traded on decentralized exchanges. The interface was basic: charts, volume, liquidity, recent trades. But DEX Screener did one thing better than competitors — it covered every DEX, on every chain, with near-real-time updates and a free public API. Within a year it had become the default chart for anyone trading memecoins, tokens too new to be on Binance, or any asset that existed primarily on AMMs.

    The killer feature was the new-pair scanner. DEX Screener showed freshly launched tokens within seconds of their first trade, sortable by age, volume, or liquidity. This made it the single most-used discovery tool for memecoin traders. Traders would sort by the past hour’s biggest gainers and jump into whatever was running. The strategy was risky — many of those tokens were scams — but for the small percentage that weren’t, the early entry made outsized returns possible.

    By 2024 DEX Screener was drawing tens of millions of monthly active users. Its “trending” list effectively controlled what memecoins got eyeballs — getting into the DEX Screener top 10 was the Solana memecoin equivalent of trending on YouTube. Projects paid for “paid ads” on the platform, a revenue stream that turned DEX Screener into one of the most profitable independent crypto tools without ever raising venture capital.

    DEX Screener’s contribution to memecoin culture is that it solved the discovery problem. Before it, finding new tokens required joining Telegram groups, following obscure Twitter accounts, or running custom scanner scripts. After DEX Screener, anyone could open a browser tab and see the hottest tokens in the world. Whether that was good or bad for retail investors is debatable — but it made the market vastly more participatory, and that accessibility was itself a category shift.


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  • Birdeye: The Solana-First Analytics Dashboard

    Birdeye launched in 2022 as an analytics platform focused specifically on Solana. At the time, DEX Screener’s Solana coverage was limited and Solana-native traders needed better tools. Birdeye filled the gap with charts, token scanners, wallet trackers, and liquidity analytics tuned for the specific quirks of Solana’s DEXs — especially Raydium, Orca, and pump.fun pools.

    As Solana memecoin activity exploded in 2024, Birdeye became the default analytics dashboard for the entire meta. Its “trending” and “new listings” pages were refreshed constantly by traders looking for the next pump. The platform’s API became the backbone of many third-party bots and trading tools, including BONKbot and several copy-trading services. By late 2024, Birdeye was competing directly with DEX Screener for Solana trader attention — and in many cases winning because of its deeper native Solana integration.

    Birdeye’s product philosophy was “build for the active trader, not the analyst.” Its interface prioritized speed and decision-making over deep data exploration. Unlike Dune, Birdeye didn’t expose SQL. Unlike Nansen, it didn’t label every wallet. It just showed you what was pumping, what was dumping, and where the money was moving — in under a second.

    The bigger lesson of Birdeye is that chain-specific tooling matters. Generic multi-chain platforms can cover the basics, but each chain has its own quirks that only a dedicated team will bother to handle well. Solana’s combination of tiny fees, extreme transaction volume, and pump.fun-style bonding curves created specific analytics problems that generalists solved mediocrely. Birdeye, by going deep on one chain, built a better product for that chain’s traders — and that’s why it won the category on Solana.


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  • Mando: The Low-Cap Hunter Who Made Solana Calls Early

    Mando is a pseudonymous trader and Crypto Twitter personality known for calling early memecoin and low-cap token opportunities, particularly on Solana. His account grew rapidly during 2023-2024 as a series of his calls — including early BONK, WIF, and several sub-$1M market cap tokens that later 20x’d — built his reputation as one of the more reliable low-cap hunters in the space.

    Mando’s style is minimal. Short posts, screenshots of contract addresses, brief rationales, no hype language. He rarely runs threads explaining why he’s bullish; he just shares what he’s buying and lets the results speak. His wallet is publicly known and frequently appears on GMGN smart-money rankings. He is, by his own description, a trader first and a content creator second.

    The appeal of Mando’s style to his followers is that it feels honest by comparison to the theatrical influencer model. Traders who follow him are not expected to join Telegram groups, buy courses, or participate in parasocial dynamics. They get the call, they do their own research, they buy or don’t. For a generation of Solana traders tired of being shilled at, that low-friction relationship was refreshing.

    Like all influencer calls, Mando’s record isn’t perfect. He has had losses. He has called tokens that rugged. He has been wrong on timing. What distinguishes him from worse callers is that he publishes the losses alongside the wins, without trying to memory-hole bad trades. In a space where most influencers quietly delete their losing calls, transparency is itself a competitive advantage. Mando’s following is built on the assumption that you’re seeing his real trades, not a curated highlight reel.


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  • The Rise of Fair Memecoin Trading Infrastructure

    By late 2024, the memecoin ecosystem had a trust problem that nobody wanted to admit. Traders had access to powerful tools like GMGN, Photon, and BONKbot, but the relationship between these tools and retail users was increasingly extractive. Front-running, hidden fees, MEV sandwich attacks, and opaque routing were all baked into the default memecoin trading experience. The power users knew how to navigate it. Normal users got quietly skimmed on every trade.

    This created an opening for a new category of memecoin infrastructure focused on retail protection rather than power-user features. The pitch was simple: most people trading memecoins don’t want to run sniper bots and Photon terminals. They want an app that lets them discover, buy, and sell tokens the way Robinhood lets people buy stocks — safely, transparently, without learning the dark arts of onchain trading. Memeshot was one of the products built around this thesis.

    The technical challenges are real. Protecting users from MEV requires specialized routing and transaction-submission strategies. Filtering out obvious scams requires aggressive real-time scoring of newly launched tokens. Balancing simplicity against the desire of some users for advanced features means making hard product trade-offs. Getting any of this wrong in a space full of scams means losing user trust immediately.

    The long-term bet is that memecoin trading is going to look a lot like mobile equity trading five years from now: dominated by consumer apps with intuitive UX, safety rails, and branded experiences, rather than raw DEX interfaces and Telegram bots. The power users will always have their advanced tools. But the bulk of the market, eventually, belongs to whichever products can make memecoin trading safe enough that normal people can participate without losing their shirts on every trade. That’s the opportunity Memeshot and its peers are trying to capture.


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  • The Early Solana Rugs: How Every New Chain Gets Its Reckoning

    In the first wave of Solana memecoins during 2021, rugs were so common that they were considered a normal cost of playing the game. Dozens of tokens launched daily on then-primitive DEXs, and most of them were designed to dump. The community developed its own folklore around certain infamous rugs: ANUBIS, CATO, various anime girl tokens, and countless two-letter ticker scams that lived for hours before the liquidity disappeared.

    What made the early Solana rug era distinctive was the speed. On Ethereum, pulling a rug required paying significant gas fees to deploy contracts and drain liquidity — there was friction. On Solana, transactions cost fractions of a cent, so bad actors could spin up ten new rugs a day with almost no overhead. The velocity of scams was orders of magnitude higher than any chain before it.

    The community response evolved in waves. First came informal Telegram channels where traders warned each other. Then came dedicated alpha groups that did quick contract checks before promoting tokens. Then came the rise of Rugcheck, the Solana-specific equivalent of RugDoc, which built automated scanners for locked liquidity, mint authority, and other common scam patterns. By 2024, tools like Bubblemaps could visualize wallet-concentration in seconds, making obvious scams much easier to detect.

    The broader lesson of the early Solana rug era is that every new chain with low fees will experience a scam flood, and the community has to develop its own antibodies. Ethereum went through it in 2017 with ICOs. BSC went through it in 2021. Solana went through it in 2021-2022 and again during the 2024 memecoin peak. Each iteration taught traders better defensive habits, and each new cycle finds new ways to fool them anyway. The arms race never ends.


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  • BONKbot and the Rise of Telegram Trading

    BONKbot launched in mid-2023 as a simple Telegram bot that let users buy and sell Solana tokens directly from a chat interface by pasting a contract address. No wallet opening, no DEX interface, no screenshot comparison — just type the command, confirm, done. The UX was brutal and effective. Within a month it had thousands of daily users. Within six months it was the dominant tool for Solana memecoin traders.

    The concept wasn’t new. Ethereum had Unibot, Banana Gun, and Maestro. What BONKbot did was port the format to Solana with lower fees and faster execution. Paired with the memecoin explosion triggered by BONK and WIF, it became the default trading interface for the entire 2024 Solana memecoin wave. At its peak, BONKbot was processing more than $100 million in daily volume and generating millions in fees for its operators, who shared revenue with BONK token holders.

    Competitors followed quickly. Trojan, Photon, BullX, and Maestro all launched Solana-compatible versions. Each one fought for feature parity — sniper modes, copy trading, stop losses, MEV protection — and the trading bot category became a legitimate sub-industry generating hundreds of millions in annual revenue. For a while, it was possible that a Telegram bot would surpass a full DEX in daily volume on Solana.

    The cultural significance of BONKbot and its rivals is that they collapsed the trading stack into a chat app. A new user with a Telegram account and $50 could be actively trading Solana memecoins within two minutes. This was both a superpower and a danger: the speed and simplicity that made trading accessible also made it easy to lose money faster than ever before. BONKbot didn’t invent the problem, but it made the problem available to anyone with a phone.


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  • GMGN: How Smart-Money Tracking Became Mainstream

    GMGN launched in 2023 as a Solana memecoin screener and wallet tracker. Its interface was brutally utilitarian: a grid of newly launched tokens with real-time price changes, wallet concentration data, and buttons to buy via integrated bots. But the killer feature was the smart-money filter — the ability to see which tokens were being bought by wallets that had historically made profitable trades. Copy-trading profitable wallets had existed before GMGN. GMGN made it trivially easy.

    Within months GMGN was one of the top traffic sites in Solana memecoin culture. Users would open the “smart money buys” tab, scan for tokens being accumulated by known profitable wallets, and jump in behind them. Some wallets became celebrities purely through GMGN exposure: unknown traders who had quietly turned thousands into millions were suddenly being copied by hundreds of strangers. A wallet that made a 50x call on an early memecoin could end up with more followers than most traditional crypto influencers.

    The system had obvious game-theory problems. Smart-money tracking is self-defeating: as more people copy a wallet, that wallet’s alpha shrinks. Some profitable traders started using clean new wallets to hide from trackers. Others embraced the attention and built followings around their transparency. The meta evolved into a cat-and-mouse game where real alpha-seeking traders fought to stay one step ahead of the copy machines.

    GMGN’s broader impact was to make onchain transparency a legitimate edge. For decades, retail traders had zero visibility into what institutions were doing. In the Solana memecoin meta, retail traders could see exactly what the biggest players were doing in real time. The information asymmetry that defines most financial markets was inverted. Whether that was good or bad depends on whether you were the copier or the one being copied — but it was undeniably a new kind of market.


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  • Photon: The Terminal for Solana Power Traders

    Photon launched in early 2024 as a web-based trading terminal for Solana memecoins, built for users who found BONKbot too simple and GMGN too basic. Photon’s pitch was serious: charts, limit orders, advanced filters, wallet tracking, sniper configurations, and execution speed optimized to compete with the fastest private bots. It was designed for the small population of traders who were actively trying to make a living trading memecoins on Solana.

    Photon’s interface looked like a Bloomberg terminal crossed with a video game. Multiple panes updating in real time. Color-coded PnL per position. Per-wallet analytics. The learning curve was brutal — new users typically needed a week of trial and error before they could operate it fluidly — but the ceiling was higher than any Telegram bot could offer. Professional traders who had previously been splitting time across GMGN, BONKbot, DEX Screener, and custom scripts could do everything inside Photon.

    By mid-2024 Photon was the tool of choice for the top 1% of Solana memecoin traders by volume. Users reportedly paid for priority servers, custom fee tiers, and early access to new features. Rumors circulated about secret user groups sharing configurations and alpha within the Photon ecosystem. The company kept most product decisions private, but the impact was visible in the data: a disproportionate share of the largest memecoin transactions on Solana were being routed through Photon’s infrastructure.

    The broader significance is that Photon represents a maturation of retail memecoin trading into something that looks a lot like professional equity trading in the 2000s. Ten years ago, algorithmic equity trading was the exclusive domain of hedge funds with millions in infrastructure budgets. Photon made equivalent capabilities available to a lone trader with $1,000 and an API key. Whether that democratization is ultimately good for retail is an open question. But the capability is permanent.


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